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Goal Setting, Self-Monitoring and Self-Regulation Guided by a Digital Data-Driven Study Assistant

dc.contributor.authorWeber, Felix
dc.contributor.editorZender, Raphael
dc.date.accessioned2020-01-15T11:15:36Z
dc.date.available2020-01-15T11:15:36Z
dc.date.issued2019
dc.description.abstractThis Research Proposal starts with a brief description of the SIDDATA-project from which it originates. Both aim at the implementation and investigation of a data-driven digital study assistant supporting university students in goal-setting and self-regulation for individual study goals. As starting point, theoretical backgrounds, such as Goal-Setting-Theory and Social Cognitive Theory are reviewed. Existing practical applications are summarized. From these foundations concrete use cases for our study assistant are derived. The experimental design for an evaluation of the assistant, data analysis methods and a time plan are outlined. Finally the proposal concludes with an outlook on limitations and potential benefits of this research projecten
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/31054
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBeiträge der Doktorandenkolloquiums zur DELFI 2019
dc.relation.ispartofseriesDELFI
dc.subjectGoal Setting
dc.subjectSelf-regulation
dc.subjectSelf-efficacy
dc.subjectHigher Education
dc.subjectSelf-monitoring
dc.subjectStudy Assistant
dc.subjectUniversity Students
dc.subjectStudy Planing
dc.titleGoal Setting, Self-Monitoring and Self-Regulation Guided by a Digital Data-Driven Study Assistanten
dc.typeText/Doctoral Colloquium Paper
gi.citation.publisherPlaceBonn
gi.conference.date43727
gi.conference.locationBerlin
gi.document.qualitydigidoc

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